DeepMind Study Shows That Language Models Can Learn From Explanations in Context Even Without Tuning

In the new paper Can Language Models Learn From Explanations in Context?, DeepMind researchers investigate how different types of explanations, instructions, and controls affect language models’ zero- and few-shot performance and how such explanations can support in-context learning for large language models on challenging tasks.

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